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LICENSE
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MIT License
Copyright (c) 2024 Seid Adem
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
**Folder README.md Example (e.g., `data_analytics_bi/README.md`)**
```markdown
# Data Analytics and BI Demo
## Overview
This demo showcases a data analytics and business intelligence solution for a Swiss financial institution. The goal is to analyze customer transaction patterns to enhance customer retention strategies.
## Demo
The demo includes:
- An interactive Tableau dashboard.
- Python scripts for data processing.
- Jupyter Notebooks for analysis.
## Getting Started
1. **Data:** The dataset is located in the `data/` folder.
2. **Code:** The Python script for creating the dashboard is located in the `code/` folder.
3. **Notebooks:** Jupyter Notebooks for analysis are located in the `notebooks/` folder.
### Prerequisites
- Python 3.x
- Tableau (for dashboard)
- Pandas, NumPy (Python libraries)
### Running the Demo
1. Prepare the environment:
```bash
pip install pandas numpy